Sparse autoencoders

Training Sparse Autoencoders on Language Models

This repository contains the code used for the experiments in the paper "Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking".

Steering Llama 2 with Contrastive Activation Addition

This repo implements the CVPR23 paper Trainable Projected Gradient Method for Robust Fine-tuning

Torturing neural networks by forcing them to learn the Mandelbrot set.

Locating and editing factual associations in GPT (NeurIPS 2022)

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